Manhattan mental health associations

There are 2mental health associations in the greater Manhattanmetro area. Combined, these Manhattan metro mental health associationsemploy 19 people, earn more than $417,180 in revenue each year, and have assets of $205,666.

Job trends for Manhattan mental health associations

Employees per organizationNumber of organizations
0
0
1-10
1
11-25
1
26-100
0
101 to 1,000
0
1,000+
0
Key takeaways for employment stats:

Sizes of mental health associations in Manhattan

Revenues per organizationNumber of organizations
< $250k
2
$250k to $1M
0
$1M to $5M
0
$5M to $25M
0
$25M to $100M
0
$100M+
0
Key takeaways for revenue stats:
  • Large organizations like Morning Starand Kansas Association for Infant Mental Health earn the majority of revenues among nonprofits in Manhattan mental health associations.
  • Organizations with less than $1 million in revenue account for 100.0% of combined nonprofit revenues, whereas organizations in Manhattan mental health associations with more than $100 million account for 0.0% of nonprofit earnings.

Directory of mental health associations in Manhattan


Want more insights on mental health associations in Manhattan?
There's a whole lot more to Cause IQ than what you see here. Additional filters, personnel information, peer benchmarking, Salesforce integration, vendor lists, etc. Access all the information your company needs in one place, already collected.
Schedule a demo
Over 200 customers use Cause IQ to grow, maintain, and serve their nonprofit clients.
Methodology: Cause IQ mines all tax-exempt organizations that file a Form 990, Form 990-EZ, or Form 990-PF with the IRS. We collect and aggregate this information from OCR'd paper taxreturns, XML e-file taxreturns, IRS-provided extract, the Business Master File, and Cause IQ secret sauce for data cleaning, categorization, classification, analytics, etc.
This category corresponds to the "F80: Mental Health Association" National Taxonomy of Exempt Entities (NTEE) code. Cause IQ determines NTEEs for organizations by its own internally-developed secret-sauce algorithms.